首页> 外文期刊>Soil & Tillage Research >Modelling of crop yields and N2O emissions from silty arable soils with differing tillage in two long-term experiments
【24h】

Modelling of crop yields and N2O emissions from silty arable soils with differing tillage in two long-term experiments

机译:在两个长期实验中模拟了不同耕作的粉质耕地土壤的农作物产量和N2O排放模型

获取原文
获取原文并翻译 | 示例
           

摘要

The choice of tillage system affects crop growth and soil nitrogen dynamics. Models help us to better understand these systems and the interaction of the processes involved. Objectives were to test a calibration and validation scheme for applications of the denitrification-decomposition (DNDC) model to describe a long-term field experiment with conventional tillage (CT) and reduced tillage (RI) at two sites (G and silty Haplic Luvisols) near Gottingen, Germany (G-CT, G-RI, H-CT, H-RI). Crop growth of field bean (Vicia faba L) and winter wheat (Triticum aestivum L) as well as soil water dynamics and nitrous oxide (N2O) emissions were determined for two subsequent years. A model test was performed based on a model parameterization to best describe the case G-CT. This parameterization was then applied to the other cases as a retrospective simulation. Results of model variant vi (no parameter optimization) indicated that soil water contents were not accurately simulated using the DNDC default values for a silt loam. After successful calibration of the soil water flow model using modified water-filled pore spaces at field capacity and wilting point and a modified hydro-conductivity that led to a good fit of the measured water content data, grain yields were markedly underestimated and modelled N2O emissions were too large (v2). An optimization of the crop properties (maximum grain yield. N fixation index, thermal degree days, transpiration coefficient) was essential for a better match of measured yields (v3). Further adjustments in the model (v4) were required to better match cumulative N2O emissions: reducing the initial soil organic carbon content and mineralization rates. Predictions of crop yields and annual cumulative N2O emissions using model variant v4 were fairly accurate for the reduced tillage system G-RI and also for the second field experiment H-CT and H-RI, but annual distributions of N2O emissions were not. Overall our results indicate that site specific calibration was an essential requirement for the silty German sites, and that the pedotransfer functions and denitrification submodel of DNDC may need further improvement
机译:耕作制度的选择会影响作物的生长和土壤氮素动态。模型有助于我们更好地理解这些系统以及所涉及的流程之间的相互作用。目的是测试反硝化分解(DNDC)模型的应用的校准和验证方案,以描述在两个地点(G和粉质Haplic Luvisols)进行常规耕作(CT)和减少耕作(RI)的长期田间试验德国哥廷根附近(G-CT,G-RI,H-CT,H-RI)。在接下来的两年中,确定了田间豆(Vicia faba L)和冬小麦(Triticum aestivum L)的作物生长以及土壤水分动力学和一氧化二氮(N2O)排放。基于模型参数化进行了模型测试,以最好地描述案例G-CT。然后将此参数化应用于其他情况作为回顾性模拟。模型变体vi的结果(无参数优化)表明,使用淤泥壤土的DNDC默认值无法准确模拟土壤含水量。在使用田间持水量和枯萎点处的改良充水孔隙空间以及改良的水电导率对土壤水流模型进行成功校准之后,改良的水电导率可以很好地拟合所测得的水分含量数据,谷物产量明显被低估了,并模拟了N2O排放量太大(v2)。优化作物特性(最大谷物产量。固氮指数,热度天数,蒸腾系数)对于更好地匹配所测得的产量(v3)至关重要。需要对模型(v4)进行进一步调整,以更好地匹配累积的N2O排放:减少土壤的初始有机碳含量和矿化速率。对于减耕系统G-RI以及第二次田间试验H-CT和H-RI,使用模型变量v4预测作物产量和年度累积N2O排放是相当准确的,但N2O排放的年度分布却不准确。总体而言,我们的结果表明,特定地点的校准是粉质德国站点的基本要求,并且DNDC的pedotransfer函数和反硝化子模型可能需要进一步改进

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号